There is a version of AI customer growth that accounting firms buy off a shelf and quietly stop using inside a month. Then there's the version that's wired into your real workflow, owned by a person on your team, and still in use a year later. We only build the second one.
Accounting firms · Applied AI
Get me more customers, built around how a accounting firm actually works.
What AI customer growth actually does
A done-for-you AI growth engine that runs the full top-of-funnel motion – lookalike prospecting, multi-channel outreach, qualification, and meeting booking – and hands warm conversations to your closers. The 'just get me more customers' button, run by an AI agent.
- 01 Defines your ideal customer profile from your existing best accounts
- 02 Builds and refreshes prospect lists weekly
- 03 Owns first contact through to booked meeting
- 04 Reports weekly on what's working – and stops what isn't
Built on: Claude + GPT-4 orchestration Apollo / Clay / LinkedIn Sales Navigator HubSpot or your existing CRM Custom dashboards in Retool
Without Kiwi Dynamics
With Kiwi Dynamics
Sector reality
Accounting firms need software built around their week, not against it.
- Accounting firms carry seasonal peaks where document chasing and data entry crowd out the advisory work that actually pays.
- Client document requests, reconciliations, and deadline reminders are the repetitive load behind every busy season.
How we build AI customer growth for accounting firms.
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for a accounting firm business, so value lands before the build is finished. Get me more customers.
Talk to usThe outcome for accounting firms
The shape of the result for accounting firms: Doubled an NZ professional services firm's qualified pipeline in 90 days – no new headcount. Built on Claude + GPT-4 orchestration, hardened with the rest of the stack as it scales.
Not your typical AI agency.
Honest about what AI can and cannot do
Ships the one workflow that pays for itself
Hours given back, never the size of the invoice
*Every engagement is scoped and quoted up front. Results vary by workflow and business.
Questions
FAQ
What's a typical engagement length for accounting firms?
Six to twelve weeks for the build, then a short managed-services month while the system goes from "shipped" to "owned by your team". After that you keep us on retainer if you want, or take it from there yourself.
Are there hidden costs we should plan for?
Three to know about: model/API spend (which we set up under your own account, not ours, so you see and control it), any new SaaS subscriptions we recommend, and your team's time during rollout. We surface all three in the quote so there are no surprises.
Anyone else in this space using AI customer growth?
Plenty. Doubled an NZ professional services firm's qualified pipeline in 90 days – no new headcount. The interesting question is rarely "does it work" – it's "is your team ready to use the output." That's what we'd scope on the call.
Can you work with our existing systems?
Yes. The default AI customer growth stack we reach for is Claude + GPT-4 orchestration, Apollo / Clay / LinkedIn Sales Navigator, HubSpot or your existing CRM, Custom dashboards in Retool, but we'll bend it around whatever you already run – Xero, HubSpot, Shopify, Cin7, your own in-house apps. The discovery week maps every data source before any build starts.
Get in touch
Talk to us about this
Tell us what you're trying to do and we'll reply with how we'd build it — no obligation.